lrysx

lrysx's Stars

• Mikoto10032/DeepLearning

  深度学习入门教程, 优秀文章, Deep Learning Tutorial

  Language:Jupyter Notebook14.6k302143.6k

• PythonOT/POT

  POT : Python Optimal Transport

  Language:Python2.4k47248502

• junyanz/BicycleGAN

  Toward Multimodal Image-to-Image Translation

  Language:Python1.5k4894255

• mhamilton723/FeatUp

  Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024

  Language:Jupyter Notebook1.4k166978

• yinboc/liif

  Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

  Language:Python1.3k2156145

• wyhuai/DDNM

  [ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

  Language:Python1.2k277882

• chaofengc/Awesome-Image-Quality-Assessment

  A comprehensive collection of IQA papers

  Language:TeX1k251067

• thuml/awesome-multi-task-learning

  2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

  67317254

• Mikoto10032/AutomaticWeightedLoss

  Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

  Language:Python58351884

• vivianhylee/seam-carving

  Seam Carving for Content Aware Image Resizing

  Language:Python3283674

• Fayeben/GenerativeDiffusionPrior

  Generative Diffusion Prior for Unified Image Restoration and Enhancement (CVPR2023)

  Language:Shell27854030

• yulunzhang/awesome-diffusion-low-level-vision

  Awesome Diffusion Models in Low-Level Vision

  1761004

• zyxElsa/CAST_pytorch

  Official implementation of the paper “Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning”（SIGGRAPH 2022）

  Language:Python17461725

• pkuanjie/ArtFlow

  Official PyTorch implementation of "ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows"

  Language:Python1565725

• lorenmt/auto-lambda

  The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].

  Language:Python12931217

• tiny-smart/dysample

  (ICCV'23) Learning to Upsample by Learning to Sample

  Language:Python1072173

• Kaldwin0106/DR2_Drgradation_Remover

  DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration. CVPR 2023.

  Language:Python91165

• Cranial-XIX/FAMO

  Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)

  Language:Python704910

• odegeasslbc/Self-Supervised-Sketch-to-Image-Synthesis-PyTorch

  The pytorch implementation for the paper "Self-Supervised Sketch-to-Image Synthesis" in AAAI-2021

  Language:Python654106

• ariel415el/GPDM

  Original Pytorch implementation of the GPDM model introduced in "Generating natural images with direct patch distributions matching"

  Language:Python62327

• kobeshegu/awesome-few-shot-generation

  A curated list of awesome few-shot image generation papers

  62413

• HolmesShuan/Zero-shot-Style-Transfer-via-Attention-Rearrangement

  Official implementation of the paper "Z∗: Zero-shot Style Transfer via Attention Rearrangement" a.k.a. "Z∗: Zero-shot Style Transfer via Attention Reweighting" (CVPR2024)

  Language:Python53242

• mac-mvak/StyleDiffusion

  Language:Python21131

• khainb/EBSW

  Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance

  Language:Python15100

• poppinace/fade

  (ECCV'22) FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling

  Language:Python15235

• cusuh/CoGS

  CoGS: Controllable Generation and Search from Sketch and Style

  Language:Python13131

• clbonet/Spherical_Sliced-Wasserstein

  Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"

  Language:Jupyter Notebook12203

• cplusx/eps-Assign-and-Mix

  Official code release for AAAI 2023 paper User-controllable Arbitrary Style Transfer via Entropy Regularization

  Language:Jupyter Notebook9110

• HalbertCH/TSSAT

  This is the official PyTorch implementation of our paper: "TSSAT: Two-Stage Statistics-Aware Transformation for Artistic Style Transfer".

  Language:Python7111

• ShwanMario/ASWD

  Augmented Sliced Wasserstein Distances

  Language:Python2103